A Unified Framework for Object Retrieval and Mining

作者：Anjulan Arasanathan^*; Cartagarajah Nishan

来源：IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(1): 63-76.

DOI：10.1109/TCSVT.2008.2005801

• Feature extraction
• object retrieval
• scene matching
• video object mining
• video segmentation

This paper describes a unified framework for object mining system for videos, which combines shot segmentation, clustering, retrieval and object mining using a single set of detected local invariant regions. The local invariant regions are tracked throughout a shot and stable tracks are extracted. The conventional key frame method is replaced with these stable tracks of local regions to characterize different shots. A grouping technique is introduced to combine the stable trucks into meaningful object clusters. These clusters are used to mine similar objects. Compared to other object mining systems, our approach mines more instances of similar objects in different shots. The proposed framework is applied to full length feature films and the results are compared with state of the art methods.

• 出版日期2009-1